Free online XML to SQLITE converter

An application, reporting tool, or archive may require a queryable local database instead of a hierarchical XML document. Converting the data to SQLite makes it available to SQL tools and can avoid reparsing the XML for every query.

Conversion maps data into a new schema; it does not merely change the filename extension.

What the XML format is

XML (Extensible Markup Language) is a text format for structured data. It represents information with nested elements, attributes, text, namespaces, comments, and metadata. Database export tools, enterprise applications, content-management systems, configuration utilities, and data-exchange services commonly create XML files.

XML does not define one universal database schema. A document might contain repeated elements that represent records, nested entities such as orders and line items, or mixed content that has no direct relational equivalent. The conversion must map those structures to SQLite tables, columns, and relationships.

What the SQLITE format is

SQLite is an embedded relational database engine whose tables, indexes, views, and schema are stored in one file. SQLite database files commonly use the .sqlite, .sqlite3, or .db extension; the extension alone does not determine the format.

SQLite requires no database server and is supported by its command-line utility, desktop database managers, mobile applications, and programming languages. It provides SQL queries, transactions, indexes, constraints, and declared type affinities such as INTEGER, REAL, TEXT, BLOB, and NULL. It suits local applications, offline datasets, portable data, and compact archives, but it does not preserve XML hierarchy automatically.

Convert with an online or desktop tool

For a straightforward XML file, use the converter on 101convert.com: choose the XML file as the input, choose SQLite as the output, start the conversion, and save the generated database. No software installation is required. Inspect the resulting tables and columns because an automatic converter must infer record boundaries, names, types, and relationships from the XML.

Do not upload confidential, regulated, or otherwise restricted XML unless the applicable data-handling policy permits it. For sensitive data or a schema that must remain predictable, perform the conversion locally with a script or database tool.

Convert with Python for a controlled schema

Python includes an SQLite driver and an XML parser, so it can create a database without a separate server. This example expects repeated record elements containing name and value children:

import sys
import sqlite3
import xml.etree.ElementTree as ET

xml_file = sys.argv[1]
db_file = sys.argv[2]
root = ET.parse(xml_file).getroot()

with sqlite3.connect(db_file) as db:
    db.execute('CREATE TABLE IF NOT EXISTS records (id INTEGER PRIMARY KEY, name TEXT, value TEXT)')
    rows = []
    for record in root.findall('.//record'):
        rows.append((record.findtext('name'), record.findtext('value')))
    db.executemany('INSERT INTO records (name, value) VALUES (?, ?)', rows)

Save the file as convert.py and run python convert.py input.xml output.sqlite. Change the element paths and CREATE TABLE statement to match the source. Parameter placeholders such as ? prevent XML values from being interpreted as SQL syntax.

For nested data, use related tables instead of placing every value in one wide table. For example, create orders and order_items, then store the parent key in order_items.order_id. Convert genuine numbers to INTEGER or REAL, but keep identifiers as TEXT when leading zeroes or exact formatting matter. Decode Base64 content before storing it as a BLOB.

XML namespaces require namespace-aware searches. A path such as .//record will not find an element whose expanded name includes a namespace unless the parser query accounts for that namespace. Large XML files may require incremental parsing with iterparse rather than loading the entire tree into memory.

Check the generated database

Open the output with the SQLite command-line program:

sqlite3 output.sqlite

.tables
.schema records
SELECT COUNT(*) FROM records;
SELECT * FROM records LIMIT 10;

A graphical SQLite manager can also open output.sqlite; use its database-open command, commonly shown as File → Open database, then inspect the tables, column types, keys, and values.

Quality and compatibility limits

Automatic conversion can discard comments, processing instructions, element order, namespace details, mixed text, attributes, and the distinction between a missing element and an empty element. Preserve the original XML when those details matter, or map them explicitly to columns and child tables.

Validate row counts, required fields, duplicate identifiers, dates, decimal separators, character encoding, null handling, and relationships before deleting the source. Use a transaction so a parsing or insertion error cannot leave a partially populated database. For untrusted XML, use a parser configured for safe XML processing and reject unexpectedly large or malformed input.

SQLite permits values whose runtime types differ from a column's declared affinity. Add NOT NULL, UNIQUE, foreign-key, and index definitions when the source rules require them; enable foreign-key enforcement with PRAGMA foreign_keys = ON. Test the output with the target application because it may require specific table names, column names, relationships, filename extensions, or a compatible SQLite version.